A bundle approach for SDPs with exact subgraph constraints

  • The ‘exact subgraph’ approach was recently introduced as a hierarchical scheme to get increasingly tight semidefinite programming relaxations of several NP-hard graph optimization problems. Solving these relaxations is a computational challenge because of the potentially large number of violated subgraph constraints. We introduce a computational framework for these relaxations designed to cope with these difficulties. We suggest a partial Lagrangian dual, and exploit the fact that its evaluation decomposes into two independent subproblems. This opens the way to use the bundle method from non-smooth optimization to minimize the dual function. Computational experiments on the Max-Cut, stable set and coloring problem show the efficiency of this approach.

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Metadaten
Author:Elisabeth GaarGND, Franz Rendl
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/112276
ISBN:9783030179526OPAC
ISBN:9783030179533OPAC
ISSN:0302-9743OPAC
ISSN:1611-3349OPAC
Parent Title (English):Integer Programming and Combinatorial Optimization: 20th International Conference, IPCO 2019, Ann Arbor, MI, USA, May 22-24, 2019, proceedings
Publisher:Springer
Place of publication:Cham
Editor:Andrea Lodi, Viswanath Nagarajan
Type:Conference Proceeding
Language:English
Year of first Publication:2019
Release Date:2024/04/04
First Page:205
Last Page:218
Series:Lecture Notes in Computer Science ; 11480
DOI:https://doi.org/10.1007/978-3-030-17953-3_16
Institutes:Mathematisch-Naturwissenschaftlich-Technische Fakultät
Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Mathematik
Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Mathematik / Diskrete Mathematik, Optimierung und Operations Research
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 51 Mathematik / 510 Mathematik